{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Trong bài này tôi sẽ đề cập tới một số kỹ thuật để tiền xử lý data (data lưu dưới dạng file bảng)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**features:** đặc trưng \\\n",
    "**labels:** nhãn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0. Thêm thư viện"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Dữ liệu người dùng ngưng dùng sản phẩm (Customer churn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### A. Nhiệm vụ 1: Sử dụng pandas để đọc dữ liệu từ file csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = pd.read_csv('./data/Customer_Churn_Modelling.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Chúng ta có một dataset danh sách khách hàng ngưng sử dụng sản phẩm tại thời điểm nhất định, từ đó ta có thể tính được (customer churn rate), tỉ lệ khách hàng ngưng sử dụng sản phẩm. Tỉ lệ này vô cùng quan trọng vì chi phí duy trì một khách hàng ít hơn rất nhiều so với chi phí để có thêm một khách hàng mới. Cho nên duy trì tỉ lệ này thấp là một những mục tiêu hàng đầu của các công ty.\n",
    "\n",
    "Chúng ta có thể dự đoán một người nào đó sẽ ngưng sử dụng sản phẩm dựa trên một số yếu tố như điểm credit(CreditScore), vị trí(Geography), giới tính (Gender), tuổi (Age), thời gian công tác(Tenure), số dư tài khoản (Balance), số lượng sản phẩm đã mua (NumOfProducts), có thẻ tín dụng (HasCrCard), là thành viên hoạt động tichs cực(HasCrCard), lương dự kiến(EstimatedSalary). Đây là **đặc trưng** của chúng ta.\n",
    "\n",
    "Và cột Exited là 0 hay 1 thể hiện là người đó ngưng dùng sản phẩm hay không. Vậy đây là cột **nhãn** của chúng ta.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hiển thị dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RowNumber</th>\n",
       "      <th>CustomerId</th>\n",
       "      <th>Surname</th>\n",
       "      <th>CreditScore</th>\n",
       "      <th>Geography</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
       "      <th>Balance</th>\n",
       "      <th>NumOfProducts</th>\n",
       "      <th>HasCrCard</th>\n",
       "      <th>IsActiveMember</th>\n",
       "      <th>EstimatedSalary</th>\n",
       "      <th>Exited</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>15634602</td>\n",
       "      <td>Hargrave</td>\n",
       "      <td>619</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>101348.88</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>15647311</td>\n",
       "      <td>Hill</td>\n",
       "      <td>608</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Female</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>83807.86</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>112542.58</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>15619304</td>\n",
       "      <td>Onio</td>\n",
       "      <td>502</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>42</td>\n",
       "      <td>8</td>\n",
       "      <td>159660.80</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113931.57</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>15701354</td>\n",
       "      <td>Boni</td>\n",
       "      <td>699</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>93826.63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>15737888</td>\n",
       "      <td>Mitchell</td>\n",
       "      <td>850</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Female</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>125510.82</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>79084.10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>9996</td>\n",
       "      <td>15606229</td>\n",
       "      <td>Obijiaku</td>\n",
       "      <td>771</td>\n",
       "      <td>France</td>\n",
       "      <td>Male</td>\n",
       "      <td>39</td>\n",
       "      <td>5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>96270.64</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>9997</td>\n",
       "      <td>15569892</td>\n",
       "      <td>Johnstone</td>\n",
       "      <td>516</td>\n",
       "      <td>France</td>\n",
       "      <td>Male</td>\n",
       "      <td>35</td>\n",
       "      <td>10</td>\n",
       "      <td>57369.61</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>101699.77</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>9998</td>\n",
       "      <td>15584532</td>\n",
       "      <td>Liu</td>\n",
       "      <td>709</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>36</td>\n",
       "      <td>7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>42085.58</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>9999</td>\n",
       "      <td>15682355</td>\n",
       "      <td>Sabbatini</td>\n",
       "      <td>772</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Male</td>\n",
       "      <td>42</td>\n",
       "      <td>3</td>\n",
       "      <td>75075.31</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>92888.52</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>10000</td>\n",
       "      <td>15628319</td>\n",
       "      <td>Walker</td>\n",
       "      <td>792</td>\n",
       "      <td>France</td>\n",
       "      <td>Female</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>130142.79</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>38190.78</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      RowNumber  CustomerId    Surname  CreditScore Geography  Gender  Age  \\\n",
       "0             1    15634602   Hargrave          619    France  Female   42   \n",
       "1             2    15647311       Hill          608     Spain  Female   41   \n",
       "2             3    15619304       Onio          502    France  Female   42   \n",
       "3             4    15701354       Boni          699    France  Female   39   \n",
       "4             5    15737888   Mitchell          850     Spain  Female   43   \n",
       "...         ...         ...        ...          ...       ...     ...  ...   \n",
       "9995       9996    15606229   Obijiaku          771    France    Male   39   \n",
       "9996       9997    15569892  Johnstone          516    France    Male   35   \n",
       "9997       9998    15584532        Liu          709    France  Female   36   \n",
       "9998       9999    15682355  Sabbatini          772   Germany    Male   42   \n",
       "9999      10000    15628319     Walker          792    France  Female   28   \n",
       "\n",
       "      Tenure    Balance  NumOfProducts  HasCrCard  IsActiveMember  \\\n",
       "0          2       0.00              1          1               1   \n",
       "1          1   83807.86              1          0               1   \n",
       "2          8  159660.80              3          1               0   \n",
       "3          1       0.00              2          0               0   \n",
       "4          2  125510.82              1          1               1   \n",
       "...      ...        ...            ...        ...             ...   \n",
       "9995       5       0.00              2          1               0   \n",
       "9996      10   57369.61              1          1               1   \n",
       "9997       7       0.00              1          0               1   \n",
       "9998       3   75075.31              2          1               0   \n",
       "9999       4  130142.79              1          1               0   \n",
       "\n",
       "      EstimatedSalary  Exited  \n",
       "0           101348.88       1  \n",
       "1           112542.58       0  \n",
       "2           113931.57       1  \n",
       "3            93826.63       0  \n",
       "4            79084.10       0  \n",
       "...               ...     ...  \n",
       "9995         96270.64       0  \n",
       "9996        101699.77       0  \n",
       "9997         42085.58       1  \n",
       "9998         92888.52       1  \n",
       "9999         38190.78       0  \n",
       "\n",
       "[10000 rows x 14 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hiển thị phân bố của data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x12748f610>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.pairplot(dataset[[\"CreditScore\", \"Balance\", \"NumOfProducts\", \"EstimatedSalary\"]], diag_kind=\"kde\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### B. Nhiệm vụ 2: Tách đặc trưng và nhãn ra khỏi dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Tách đặc trưng ra khỏi dataset:** Ta dùng hàm **loc** để lọc từ cột \"CreditScore\" cho đến cột \"EstimatedSalary\". Rõ ràng ta thấy những giá trị trong cột \"CustomerId\" và \"Surname\" không ảnh hưởng gì đến chỉ số Customer Churn rate nên ta sẽ không sử dụng nó trong dữ liệu để train."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = dataset.loc[:, \"CreditScore\":\"EstimatedSalary\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Tách nhãn ra khỏi dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = dataset[\"Exited\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Code bên trên có kết quả tương đương với nhưng chú ý hàm pop sẽ xoá cột \"Exited\" ra khỏi dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = dataset.pop(\"Exited\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In số một phần tử đầu trong dữ liệu để kiểm tra kết quả. \\\n",
    "Có hai hàm: X.head() để in các phần tử nằm đầu, X.tail() để in các phần tử nằm cuối."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    0\n",
       "2    1\n",
       "3    0\n",
       "4    0\n",
       "Name: Exited, dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### C. Nhiệm vụ 3: Chuyển dữ liệu từ chữ thành số"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Cột Geography"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nhận thấy cột Geography chứa dữ liệu chữ nên ta cần chuẩn hoá dữ liệu số. Ví dụ có 3 nước Spain, France, Germany ta có thể chuyển thành 3 giá trị số 0, 1, 2. Thực hiện chuyển hoá"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "geolabel = LabelEncoder()\n",
    "X[\"Geography\"] = geolabel.fit_transform(X[\"Geography\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Kiểm tra kết quả"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CreditScore</th>\n",
       "      <th>Geography</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
       "      <th>Balance</th>\n",
       "      <th>NumOfProducts</th>\n",
       "      <th>HasCrCard</th>\n",
       "      <th>IsActiveMember</th>\n",
       "      <th>EstimatedSalary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>619</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>101348.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>608</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>83807.86</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>112542.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>502</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>8</td>\n",
       "      <td>159660.80</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113931.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>699</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>93826.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>850</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>125510.82</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>79084.10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CreditScore  Geography  Gender  Age  Tenure    Balance  NumOfProducts  \\\n",
       "0          619          0       0   42       2       0.00              1   \n",
       "1          608          2       0   41       1   83807.86              1   \n",
       "2          502          0       0   42       8  159660.80              3   \n",
       "3          699          0       0   39       1       0.00              2   \n",
       "4          850          2       0   43       2  125510.82              1   \n",
       "\n",
       "   HasCrCard  IsActiveMember  EstimatedSalary  \n",
       "0          1               1        101348.88  \n",
       "1          0               1        112542.58  \n",
       "2          1               0        113931.57  \n",
       "3          0               0         93826.63  \n",
       "4          1               1         79084.10  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Cột Gender"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rõ ràng chỉ có 2 giới tính là Male và Female nên kết quả chỉ có 2 giá trị là 0 và 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "genderlabel = LabelEncoder()\n",
    "X[\"Gender\"] = geolabel.fit_transform(X[\"Gender\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CreditScore</th>\n",
       "      <th>Geography</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
       "      <th>Balance</th>\n",
       "      <th>NumOfProducts</th>\n",
       "      <th>HasCrCard</th>\n",
       "      <th>IsActiveMember</th>\n",
       "      <th>EstimatedSalary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>771</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>96270.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>516</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>10</td>\n",
       "      <td>57369.61</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>101699.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>709</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>42085.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>772</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>3</td>\n",
       "      <td>75075.31</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>92888.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>792</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>130142.79</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>38190.78</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CreditScore  Geography  Gender  Age  Tenure    Balance  NumOfProducts  \\\n",
       "9995          771          0       1   39       5       0.00              2   \n",
       "9996          516          0       1   35      10   57369.61              1   \n",
       "9997          709          0       0   36       7       0.00              1   \n",
       "9998          772          1       1   42       3   75075.31              2   \n",
       "9999          792          0       0   28       4  130142.79              1   \n",
       "\n",
       "      HasCrCard  IsActiveMember  EstimatedSalary  \n",
       "9995          1               0         96270.64  \n",
       "9996          1               1        101699.77  \n",
       "9997          0               1         42085.58  \n",
       "9998          1               0         92888.52  \n",
       "9999          1               0         38190.78  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### D. Nhiệm vụ 4: Kiểm tra giá trị không phải số (NAN) tồn tại trong bảng"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Kiểm tra số giá trị NAN tại các cột"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RowNumber          0\n",
       "CustomerId         0\n",
       "Surname            0\n",
       "CreditScore        0\n",
       "Geography          0\n",
       "Gender             0\n",
       "Age                0\n",
       "Tenure             0\n",
       "Balance            0\n",
       "NumOfProducts      0\n",
       "HasCrCard          0\n",
       "IsActiveMember     0\n",
       "EstimatedSalary    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Xoá các hàng có chứa dữ liệu này"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = dataset.dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### E. Nhiệm vụ 5: Tách dataset thành dữ liệu test và train"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tách theo tỉ lệ test/train là 1/4. 4 phần data dùng để train và 1 phần để test độ chính xác (accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state = 0, stratify=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8000, 10)"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2000, 10)"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([ 493, 6839,  170, 4958, 4271,  348, 9555, 7634, 9801,  596,\n",
       "            ...\n",
       "            1432, 2795, 7112, 1733, 8522, 6727, 4674, 6399,  872, 8389],\n",
       "           dtype='int64', length=8000)"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['CreditScore', 'Geography', 'Gender', 'Age', 'Tenure', 'Balance',\n",
       "       'NumOfProducts', 'HasCrCard', 'IsActiveMember', 'EstimatedSalary'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### F. Nhiệm vụ 6: Chuẩn hoá dữ liệu"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tại sao cần chuẩn hoá: Chuẩn hoá sẽ giúp cân bằng mức độ ảnh hưởng đến nhãn của các đặc trưng. Nếu chúng ta không chuẩn hoá thì như bạn thấy giá trị trong cột EstimatedSalary đang quá lớn so với cột Gender. Nếu giữ nguyên data này để train thì việc thêm Gender là không có nhiều ý nghĩa. Kết quả sẽ chỉ phụ thuộc chủ yếu vào đặc trưng EstimatedSalary -> Không công bằng. Ta cần đưa về một phân bố sao cho các đặc trưng tương đồng nhau hơn."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Công thức đơn giản: z = (x - u) / s"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "trong đó u is trung bình các đặc trưng and s độ lệch chuẩn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_not_data_frame = scaler.fit_transform(X_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bạn có thể thấy các giá trị đặc trưng đã trở nên tương đồng hơn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1.24021723, -0.90267262, -1.09665089, ..., -1.54963239,\n",
       "        -1.03849022,  1.64099027],\n",
       "       [ 0.75974873,  0.30491617,  0.91186722, ...,  0.64531434,\n",
       "         0.96293637, -1.55587522],\n",
       "       [-1.72725557, -0.90267262, -1.09665089, ...,  0.64531434,\n",
       "        -1.03849022,  1.1038111 ],\n",
       "       ...,\n",
       "       [-0.51484098,  0.30491617,  0.91186722, ..., -1.54963239,\n",
       "         0.96293637, -1.01507508],\n",
       "       [ 0.73902369, -0.90267262, -1.09665089, ...,  0.64531434,\n",
       "         0.96293637, -1.47887193],\n",
       "       [ 0.95663657,  1.51250495,  0.91186722, ...,  0.64531434,\n",
       "        -1.03849022,  0.50945854]])"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_not_data_frame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tương tự ta cũng cần chuẩn hoá X_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test = scaler.fit_transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vậy là ta đã có bộ data chuẩn để training. Các bài tiếp theo sẽ sử dụng Neural Network để tiến hành train model dự đoán khách hàng sẽ ngưng dùng sản phẩm. Các bạn đọc tiếp nhé."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_data_frame = pd.DataFrame(X_train_not_data_frame, index=X_train.index, columns=X_train.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CreditScore</th>\n",
       "      <th>Geography</th>\n",
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       "      <th>Age</th>\n",
       "      <th>Tenure</th>\n",
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       "      <th>EstimatedSalary</th>\n",
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       "      <td>-1.240217</td>\n",
       "      <td>-0.902673</td>\n",
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       "      <td>-1.096651</td>\n",
       "      <td>-0.944356</td>\n",
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       "      <th>4958</th>\n",
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       "      <td>-0.902673</td>\n",
       "      <td>0.911867</td>\n",
       "      <td>-0.178037</td>\n",
       "      <td>0.353903</td>\n",
       "      <td>0.518006</td>\n",
       "      <td>0.813713</td>\n",
       "      <td>0.645314</td>\n",
       "      <td>-1.038490</td>\n",
       "      <td>-1.709357</td>\n",
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       "      <th>4271</th>\n",
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       "      <td>-0.561197</td>\n",
       "      <td>0.007406</td>\n",
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       "      <td>-0.375574</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>6727</th>\n",
       "      <td>0.977362</td>\n",
       "      <td>-0.902673</td>\n",
       "      <td>-1.096651</td>\n",
       "      <td>-0.273827</td>\n",
       "      <td>1.393393</td>\n",
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       "      <td>-1.038490</td>\n",
       "      <td>-1.400204</td>\n",
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       "      <th>4674</th>\n",
       "      <td>2.065426</td>\n",
       "      <td>0.304916</td>\n",
       "      <td>0.911867</td>\n",
       "      <td>0.205122</td>\n",
       "      <td>-1.378581</td>\n",
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       "      <td>0.962936</td>\n",
       "      <td>0.441249</td>\n",
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       "      <th>6399</th>\n",
       "      <td>-0.514841</td>\n",
       "      <td>0.304916</td>\n",
       "      <td>0.911867</td>\n",
       "      <td>0.875651</td>\n",
       "      <td>1.393393</td>\n",
       "      <td>1.394116</td>\n",
       "      <td>-0.902981</td>\n",
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       "      <td>0.962936</td>\n",
       "      <td>-1.015075</td>\n",
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       "      <th>872</th>\n",
       "      <td>0.739024</td>\n",
       "      <td>-0.902673</td>\n",
       "      <td>-1.096651</td>\n",
       "      <td>-0.369617</td>\n",
       "      <td>-1.032084</td>\n",
       "      <td>1.399146</td>\n",
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       "      <td>0.962936</td>\n",
       "      <td>-1.478872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8389</th>\n",
       "      <td>0.956637</td>\n",
       "      <td>1.512505</td>\n",
       "      <td>0.911867</td>\n",
       "      <td>-1.327515</td>\n",
       "      <td>0.353903</td>\n",
       "      <td>-1.234514</td>\n",
       "      <td>0.813713</td>\n",
       "      <td>0.645314</td>\n",
       "      <td>-1.038490</td>\n",
       "      <td>0.509459</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8000 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      CreditScore  Geography    Gender       Age    Tenure   Balance  \\\n",
       "493     -1.240217  -0.902673 -1.096651  0.779861  0.353903 -1.234514   \n",
       "6839     0.759749   0.304916  0.911867 -0.273827  0.353903  0.285421   \n",
       "170     -1.727256  -0.902673 -1.096651 -0.944356 -0.339090  0.855696   \n",
       "4958     0.044735  -0.902673  0.911867 -0.178037  0.353903  0.518006   \n",
       "4271    -1.924143  -0.902673  0.911867 -0.561197  0.007406 -1.234514   \n",
       "...           ...        ...       ...       ...       ...       ...   \n",
       "6727     0.977362  -0.902673 -1.096651 -0.273827  1.393393 -1.234514   \n",
       "4674     2.065426   0.304916  0.911867  0.205122 -1.378581  1.608218   \n",
       "6399    -0.514841   0.304916  0.911867  0.875651  1.393393  1.394116   \n",
       "872      0.739024  -0.902673 -1.096651 -0.369617 -1.032084  1.399146   \n",
       "8389     0.956637   1.512505  0.911867 -1.327515  0.353903 -1.234514   \n",
       "\n",
       "      NumOfProducts  HasCrCard  IsActiveMember  EstimatedSalary  \n",
       "493       -0.902981  -1.549632       -1.038490         1.640990  \n",
       "6839       0.813713   0.645314        0.962936        -1.555875  \n",
       "170       -0.902981   0.645314       -1.038490         1.103811  \n",
       "4958       0.813713   0.645314       -1.038490        -1.709357  \n",
       "4271       0.813713  -1.549632        0.962936        -0.375574  \n",
       "...             ...        ...             ...              ...  \n",
       "6727      -0.902981   0.645314       -1.038490        -1.400204  \n",
       "4674       0.813713  -1.549632        0.962936         0.441249  \n",
       "6399      -0.902981  -1.549632        0.962936        -1.015075  \n",
       "872        0.813713   0.645314        0.962936        -1.478872  \n",
       "8389       0.813713   0.645314       -1.038490         0.509459  \n",
       "\n",
       "[8000 rows x 10 columns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_data_frame"
   ]
  }
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